Deep Learning Introduction

Nowadays I’ve been mostly coding in ruby at work and in my free time at agreelist.org, but I’m learning deep learning by means of Andrew Ng’s Coursera specialization and I┬álove it.

Basically, a neural network (NN) is a box (function) which predicts a result:

For example, X is an image and Yhat is the prediction (cat or no cat).

In this case, X is a vector with all the pixels of the image:

Before being able to use it, we need to train the neural network with a group of images that are previously labeled as cat or not (training data). The training process finds a function that maps (X, Y) and provides the parameters W and b:

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